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Title: Crying for a Reason
Researcher: Chittora, Anshu
Guide(s): Patil, Hemant A.
Keywords: Infant Cry, Physiology, Central Nervous System, Time-Domain Analysis, Spectrographic Analysis, Ethical Isuue
University: Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT)
Completed Date: 2017
Abstract: The present work in this thesis is directed towards understanding the reason of crying of an infant using signal processing approaches. Infant cry analysis and classification is a non-invasive method of analyzing the infant cries and identifying the reason of crying such as pain, hunger, discomfort or presence of any disease. An instrument developed for this purpose may be helpful in bringing up of an infant and preventing the infant from distress because he or she cannot convey his or her needs to the caretakers and thus, improve the quality of life. newline newlineFor the development of any computer algorithm for the analysis and classification task, development of database is necessary. For infant cry analysis and classification task, if a database is to be created, several factors needs to be considered while designing of the corpus, such as, reason of cry, age of infant, method of cry generation, etc. Effect of factors influencing the system behavior developed for infant cry analysis is presented in this thesis. Along with this, ideal characteristics of the infant cry corpus are discussed in this work. newline newlineFor processing of the infant cry signal, various signal processing challenges associated while using state-of-the-art methods are illustrated in this work. Signal processing methods, namely, Short-time Fourier transform (STFT) analysis, linear prediction (LP) analysis, cepstrum analysis and Teagers energy operator (TEO) analysis are used in this thesis. Along with it, for different pathological cries (such as asthma, meningitis etc.) spectrographic analysis is shown. newline newlineIn this thesis, analysis of different infant cry types is performed using acoustic features such as fundamental frequency (F0), energy in different frequency bands, unvoicing percentage of cry segments in the cry and duration of cryunits. For understanding the significance of these features in the cry analysis, 1-way analysis of variance (ANOVA) is used. Infant cries of various pathological cases are also analyzed using these features and difference...
Pagination: xxxiv, 277 p.
Appears in Departments:Department of Information and Communication Technology

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01_title.pdfAttached File120.89 kBAdobe PDFView/Open
02_declaration and certificate.pdf89.17 kBAdobe PDFView/Open
03_acknowledgements.pdf95.58 kBAdobe PDFView/Open
04_contents.pdf127.42 kBAdobe PDFView/Open
05_abstract.pdf94.45 kBAdobe PDFView/Open
06_list of principal symbols.pdf111.24 kBAdobe PDFView/Open
07_list of acronyms.pdf64.31 kBAdobe PDFView/Open
08_list of tables.pdf142.46 kBAdobe PDFView/Open
09_list of figures.pdf237.52 kBAdobe PDFView/Open
10_chapter 1.pdf196.35 kBAdobe PDFView/Open
11_chapter 2.pdf365.09 kBAdobe PDFView/Open
12_chapter 3.pdf2.2 MBAdobe PDFView/Open
13_chapter 4.pdf637.56 kBAdobe PDFView/Open
13_chapter 6.pdf2.79 MBAdobe PDFView/Open
14_chapter 5.pdf5.99 MBAdobe PDFView/Open
15_chapter 7.pdf140.17 kBAdobe PDFView/Open
16_appendix.pdf238.87 kBAdobe PDFView/Open
17_references.pdf266.67 kBAdobe PDFView/Open
18_list of publications.pdf127.71 kBAdobe PDFView/Open

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